Automation index

How much of a Livestock farmer’s job can AI already do?

A headcount and a ration come earlier. The animal whole and the calving coming out do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

IS WORK OVER?

21%

AI can already do 21% of this job.

#434 / 653

Livestock farmer

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

Task	Share	AI	Points
Headcount, ration and the health log. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
Yard, calving and the one that lags. Estimate No public source provides a precise figure. This is our estimate.	22%	10%	+2.2
Pasture, water and the fence that comes down. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Market, abattoir and the day’s price. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The drought, the feed and not running them too thin. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
The animal whole, and the calving well. Estimate No public source provides a precise figure. This is our estimate.	14%	12%	+1.7
Total	100%		21%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

IS WORK OVER?

19%

#554 / 653

Histology technician

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

Task	Share	AI	Points
Intake, the pot and not mixing cases. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Process, embed and the block. Estimate No public source provides a precise figure. This is our estimate.	22%	8%	+1.8
Cut, the knife and the one that falls apart. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Stain, the control and the one that will not take. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The pathologist, the rush and not sending a bad cut. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Not losing the diagnosis on the knife. Estimate No public source provides a precise figure. This is our estimate.	14%	12%	+1.7
Total	100%		19%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low